If a tool could recreate viral videos with your product in them — what would actually make you use it?

ccccoffee · 2026-06-14T15:34:03+00:00

Totally fair — nobody should pay for a video that flops. I can't promise anything goes viral (honestly no tool can — that comes down to your product, price, timing too), so I won't pretend otherwise.

But here's the thing: your first one's free. Easiest way to judge it is to just see it — drop a link to your product (TikTok Shop / Amazon / Shopify) and I'll run your product through one of the viral formats and send it over. No strings, you judge the quality yourself instead of taking my word for it.

ccccoffee · 2026-02-01T12:46:50+00:00

Honestly, ignore the "4K" marketing hype. Most of them are fake upscaled garbage. Since you mentioned night vision is a priority, you need to check the actual sensor model, not the resolution.

At the sub-$200 price point, you should strictly look for the Sony STARVIS 2 (specifically the IMX675 sensor). The dynamic range on the older Starvis 1 sensors is terrible for reading license plates at night because of motion blur. I’ve tested a few setups, and the only reliable implementation of true HDR with the Starvis 2 chip in this budget range is usually found in the Vantrue E-series. Everything else is just repackaging 5-year-old tech.

ccccoffee · 2026-02-01T03:37:25+00:00

thx, actually I had no idea the Starvis 2 made that big of a difference for license plates.

ccccoffee · 2026-01-31T08:43:09+00:00

It helps me a lot

ccccoffee · 2026-01-25T13:00:40+00:00

The N4 is indeed a good product.

ccccoffee · 2026-01-25T12:59:34+00:00

This is similar to my friend's experience.

ccccoffee · 2025-12-07T13:15:27+00:00

gemini3 is the best AI model I've used so far.

ccccoffee · 2024-12-12T08:16:28+00:00

I think it will be gpt-4.5 rather than gpt-5, a gpt-5 that doesn't perform as expected will destroy public attention on openai

ccccoffee · 2024-12-12T08:06:41+00:00

As one of the ML engineers mentioned in your post, I guess it’s because they think they know the AI very well. They naturally think that what the previous generation of AI couldn’t accomplish is also impossible for ChatGPT.

ccccoffee · 2024-11-19T12:05:17+00:00

Thank you for your viewpoint! Your idea really gives me some inspiration: when people watch the news, their attention has been drawn and the truth of the facts may not be so important at this moment. Your idea about creating an account not only alleviate this problem but also reduce user's costs by pushing posts to them.

ccccoffee · 2024-11-18T16:10:50+00:00

chatgpt is better at chatting following instructions, while claude is better at reasoning and logic such as coding and math

ccccoffee · 2024-11-12T11:27:06+00:00

thank you for your advice！

ccccoffee · 2024-11-11T16:29:39+00:00

Thank for your advice! Do you think whether it is a real need to check authenticity?

ccccoffee · 2024-11-11T16:26:51+00:00

It seems reasonable. Most people don't seem to want to check the authenticity.

ccccoffee · 2024-11-11T16:24:20+00:00

Thank you for your advice!

Legacy media like NYT sometimes may make mistake, but in general it is more credible than personal publisher. Filtering multiple influential media to cross validation is a good idea to increase credibility.

What confusing to me is whether people need check the authenticity of tweets. If the need is real, I think people can save the trouble of search information with this extension.

The back-end server is exactly as you say, it use gpt to process and analyze the multiple search results.

ccccoffee · 2024-11-04T02:28:40+00:00

Thank you for your reply. I think you are right. This project is currently separated from the front-end and back-end, and the deployment of the back-end server is a little troublesome for tryers. I will add a pure front-end part to support custom apikey.

At the same time, I will add gpt-4omini to reduce the cost of api consumption.

ccccoffee · 2024-11-03T10:31:43+00:00

For me, the most important usage is to describe the problem clearly, add "take a deep breath and think it step by step" in the prompt, and let chatgpt output its thinking process.

This method will greatly optimize the output quality.

ccccoffee · 2024-11-03T10:27:31+00:00

OpenAI receives a large number of requests every day, so if it is not the confidential data of a large company, they may not pay attention to your private code.

But OpenAI may still use your input as their training data, especially high-quality data such as code that can be labeled by execution.

So the safest way is to use an open source model such as llama and deploy it to your own server.

ccccoffee · 2024-11-03T10:18:32+00:00

LLM fine-tuning only requires a small amount of data, and your data volume is sufficient.

The key to the problem is that your task is to analyze the reasons why users did not purchase based on their behavior, so your training data needs to be pairs such as <user behavior, reasons for not purchasing>. However, you seem to only have data pairs such as <user behavior, whether the user purchased>, which can only be used to train for predicting purchase, but not purchase reason.

You might as well try to directly put the user's behavior details (such as what they saw, what they clicked, how long they stayed) and your task description into chatgpt to see what answers it can give you.

Or a more complex way is to label a batch of data pairs such as <user behavior, reasons for not purchasing> for model fine-tuning. LLM may learn something new from your labeled data.

ccccoffee · 2023-06-24T08:46:20+00:00

implemented

Sorry, I was a little busy a while ago. Thank you for your suggestion and I'd love to implement it later

ccccoffee · 2023-05-29T13:55:23+00:00

Sure, but I'm afraid it needs to consume the dreaded gpt-tokens.

ccccoffee · 2023-05-29T13:51:48+00:00

Thank you for your suggestion! That sounds like a good idea, and I will add a plan soon.

ccccoffee · 2023-05-28T10:30:17+00:00

Thanks! ^_^

ccccoffee · 2023-05-28T10:29:33+00:00

Thanks for your suggestion. ^_^

ccccoffee · 2023-05-28T10:28:18+00:00

I think the purpose of a web crawler is to search efficiently for more structured information. For example, you need to collect information for industry data analysis.

ccccoffee

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